Oncode Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 340 Zit.
Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 114 Zit.
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 112 Zit.
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 92 Zit.
Can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study
Naweed Shifai, Remco van Doorn, Josep Malvehy et al.
2024 · 72 Zit.
Artificial intelligence and explanation: How, why, and when to explain black boxes
Eric Marcus, Jonas Teuwen
2024 · 68 Zit.
Facing privacy in neuroimaging: removing facial features degrades performance of image analysis methods
Alexandra de Sitter, M. R. Visser, Iman Brouwer et al.
2019 · 50 Zit.
Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications
Daan Schouten, Giulia Nicoletti, Bas Dille et al.
2025 · 48 Zit.
Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure
Luis Martí‐Bonmatí, Ignácio Blanquer, Manolis Tsiknakis et al.
2025 · 16 Zit.
A nationwide survey on the perceptions of general surgeons on artificial intelligence
Frank J. Voskens, Julian R. Abbing, Anthony T. Ruys et al.
2022 · 15 Zit.
Artificial intelligence-assisted double reading of chest radiographs to detect clinically relevant missed findings: a two-centre evaluation
Laurens Topff, Sanne Steltenpool, Erik Ranschaert et al.
2024 · 12 Zit.
A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative
Laurens Topff, José Sánchez García, Rafael López‐González et al.
2023 · 10 Zit.
The DRAGON benchmark for clinical NLP
Joeran S. Bosma, Koen Dercksen, Luc Builtjes et al.
2025 · 9 Zit.
Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging
Oliver Lester Saldanha, Jiefu Zhu, Gustav Müller‐Franzes et al.
2025 · 6 Zit.
Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI)
Laurens Topff, Kevin B. W. Groot Lipman, Frédéric Guffens et al.
2023 · 6 Zit.